{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 程序说明\n",
    "时间：2016年11月16日\n",
    "\n",
    "说明：该程序是一个包含两个隐藏层的神经网络。\n",
    "\n",
    "\n",
    "\n",
    "> Very Deep Convolutional Networks for Large-Scale Image Recognition\n",
    "\n",
    "> K. Simonyan, A. Zisserman\n",
    "\n",
    "> arXiv:1409.1556"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.加载keras模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from keras.applications.vgg16 import VGG16\n",
    "from keras.preprocessing import image\n",
    "from keras.applications.vgg16 import preprocess_input\n",
    "from keras.models import Model\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 显示图像"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CTQgSnE/hUASiJDOaOgQKo/G1RWjNuCzR0jSGI3lOrSIGCVqhbI0Rlnfff4t/8p0/53Bv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0vc83jr7TcZHoz50X/z3yIva3bpljTdEyc+69UFQQDCdZC2RUWLHdhEvQDpQCkLbE8lh9mO6gCi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\nNZ5/MsVxDcU6QIFSsixDM43dHrSqKoosx7cc8kShxa5m14Dy4tu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s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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0f38e6aa50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img_path = './data/elephant.jpg'\n",
    "\n",
    "img = image.load_img(img_path, target_size=(224, 224))\n",
    "\n",
    "plt.imshow(img)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 加载VGG16模型（包含全连接层）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'keras.engine.training.Model'>\n"
     ]
    }
   ],
   "source": [
    "model = VGG16(include_top=True, weights='imagenet')\n",
    "print(type(model))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "151.061\n"
     ]
    }
   ],
   "source": [
    "x = image.img_to_array(img)\n",
    "\n",
    "x = np.expand_dims(x, axis=0)\n",
    "\n",
    "x = preprocess_input(x)\n",
    "\n",
    "print(x.max())\n",
    "\n",
    "scores = model.predict(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('scores type: ', <type 'numpy.ndarray'>)\n",
      "('scores shape: ', (1, 1000))\n",
      "101\n",
      "('result is ', 'n01871265 tusker\\n')\n"
     ]
    }
   ],
   "source": [
    "class_table = open('./data/synset_words.txt', 'r')\n",
    "lines = class_table.readlines()\n",
    "print(\"scores type: \", type(scores))\n",
    "print(\"scores shape: \", scores.shape)\n",
    "print(np.argmax(scores))\n",
    "print('result is ', lines[np.argmax(scores)])\n",
    "class_table.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 加载VGG16模型（不包含包含全连接层）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = VGG16(weights='imagenet', include_top=False)\n",
    "\n",
    "x = image.img_to_array(img)\n",
    "\n",
    "x = np.expand_dims(x, axis=0)\n",
    "\n",
    "x = preprocess_input(x)\n",
    "\n",
    "features = model.predict(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 7, 7, 512)\n"
     ]
    }
   ],
   "source": [
    "print(features.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_4 (InputLayer)         (None, None, None, 3)     0         \n",
      "_________________________________________________________________\n",
      "block1_conv1 (Conv2D)        (None, None, None, 64)    1792      \n",
      "_________________________________________________________________\n",
      "block1_conv2 (Conv2D)        (None, None, None, 64)    36928     \n",
      "_________________________________________________________________\n",
      "block1_pool (MaxPooling2D)   (None, None, None, 64)    0         \n",
      "_________________________________________________________________\n",
      "block2_conv1 (Conv2D)        (None, None, None, 128)   73856     \n",
      "_________________________________________________________________\n",
      "block2_conv2 (Conv2D)        (None, None, None, 128)   147584    \n",
      "_________________________________________________________________\n",
      "block2_pool (MaxPooling2D)   (None, None, None, 128)   0         \n",
      "_________________________________________________________________\n",
      "block3_conv1 (Conv2D)        (None, None, None, 256)   295168    \n",
      "_________________________________________________________________\n",
      "block3_conv2 (Conv2D)        (None, None, None, 256)   590080    \n",
      "_________________________________________________________________\n",
      "block3_conv3 (Conv2D)        (None, None, None, 256)   590080    \n",
      "_________________________________________________________________\n",
      "block3_pool (MaxPooling2D)   (None, None, None, 256)   0         \n",
      "_________________________________________________________________\n",
      "block4_conv1 (Conv2D)        (None, None, None, 512)   1180160   \n",
      "_________________________________________________________________\n",
      "block4_conv2 (Conv2D)        (None, None, None, 512)   2359808   \n",
      "_________________________________________________________________\n",
      "block4_conv3 (Conv2D)        (None, None, None, 512)   2359808   \n",
      "_________________________________________________________________\n",
      "block4_pool (MaxPooling2D)   (None, None, None, 512)   0         \n",
      "_________________________________________________________________\n",
      "block5_conv1 (Conv2D)        (None, None, None, 512)   2359808   \n",
      "_________________________________________________________________\n",
      "block5_conv2 (Conv2D)        (None, None, None, 512)   2359808   \n",
      "_________________________________________________________________\n",
      "block5_conv3 (Conv2D)        (None, None, None, 512)   2359808   \n",
      "_________________________________________________________________\n",
      "block5_pool (MaxPooling2D)   (None, None, None, 512)   0         \n",
      "=================================================================\n",
      "Total params: 14,714,688\n",
      "Trainable params: 14,714,688\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 提取block5_pool层特征"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda/lib/python2.7/site-packages/ipykernel_launcher.py:1: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=Tensor(\"bl..., inputs=Tensor(\"in...)`\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "model_extractfeatures = Model(input=model.input, output=model.get_layer('block5_pool').output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "block5_pool_features = model_extractfeatures.predict(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<type 'numpy.ndarray'>\n",
      "(1, 7, 7, 512)\n"
     ]
    }
   ],
   "source": [
    "print(type(block5_pool_features))\n",
    "print(block5_pool_features.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPgAAAD8CAYAAABaQGkdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0eb72ec710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature_image = block5_pool_features[:,:,:,0].reshape(7,7)\n",
    "plt.imshow(feature_image)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  },
  "ssap_exp_config": {
   "error_alert": "Error Occurs!",
   "initial": [],
   "max_iteration": 1000,
   "recv_id": "",
   "running": [],
   "summary": [],
   "version": "1.1.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
